Aliakbar Akbari

584 total citations
27 papers, 320 citations indexed

About

Aliakbar Akbari is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Aliakbar Akbari has authored 27 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Control and Systems Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Aliakbar Akbari's work include Robotic Path Planning Algorithms (14 papers), AI-based Problem Solving and Planning (8 papers) and Robot Manipulation and Learning (7 papers). Aliakbar Akbari is often cited by papers focused on Robotic Path Planning Algorithms (14 papers), AI-based Problem Solving and Planning (8 papers) and Robot Manipulation and Learning (7 papers). Aliakbar Akbari collaborates with scholars based in Spain, Iran and United Kingdom. Aliakbar Akbari's co-authors include Jan Rosell, Fabien Lagriffoul, Majid Hashemipour, Sener Uysal, Alexander Pérez, Sara Bernardini, Masoud Goharimanesh, Lydia E. Kavraki, Neil T. Dantam and Caelan Reed Garrett and has published in prestigious journals such as Sensors, Applied Sciences and Robotics and Autonomous Systems.

In The Last Decade

Aliakbar Akbari

26 papers receiving 299 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Aliakbar Akbari Spain 11 158 145 120 43 42 27 320
Ee Soong Low Malaysia 6 228 1.4× 96 0.7× 106 0.9× 81 1.9× 26 0.6× 12 349
Ouarda Hachour Algeria 6 250 1.6× 125 0.9× 72 0.6× 104 2.4× 32 0.8× 14 306
Marcelo Ricardo Stemmer Brazil 10 106 0.7× 47 0.3× 40 0.3× 32 0.7× 24 0.6× 35 251
Xinyi Yu China 11 94 0.6× 104 0.7× 52 0.4× 31 0.7× 29 0.7× 60 322
Sheng-Fuu Lin Taiwan 9 151 1.0× 50 0.3× 78 0.7× 43 1.0× 19 0.5× 29 330
Marco Antônio de Souza Leite Cuadros Brazil 9 126 0.8× 83 0.6× 68 0.6× 67 1.6× 33 0.8× 22 245
Pooja Agrawal India 9 163 1.0× 89 0.6× 47 0.4× 59 1.4× 50 1.2× 49 334
Said Benhlima Morocco 6 279 1.8× 106 0.7× 102 0.8× 104 2.4× 34 0.8× 18 376
Chaymaa Lamini Morocco 4 267 1.7× 106 0.7× 94 0.8× 102 2.4× 32 0.8× 5 332

Countries citing papers authored by Aliakbar Akbari

Since Specialization
Citations

This map shows the geographic impact of Aliakbar Akbari's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aliakbar Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aliakbar Akbari more than expected).

Fields of papers citing papers by Aliakbar Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aliakbar Akbari. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aliakbar Akbari. The network helps show where Aliakbar Akbari may publish in the future.

Co-authorship network of co-authors of Aliakbar Akbari

This figure shows the co-authorship network connecting the top 25 collaborators of Aliakbar Akbari. A scholar is included among the top collaborators of Aliakbar Akbari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aliakbar Akbari. Aliakbar Akbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Clarke, R.J., Aliakbar Akbari, Ferdian Jovan, et al.. (2025). Subterranean Mine Inspection Using the Prometheus Re‐Configurable Drone. Journal of Field Robotics. 1 indexed citations
2.
Goharimanesh, Masoud, et al.. (2023). Prediction of drill penetration rate in drilling oil wells using mathematical and neurofuzzy modeling methods. Energy Reports. 11. 145–152. 6 indexed citations
3.
Akbari, Aliakbar & Sara Bernardini. (2021). Informed Autonomous Exploration of Subterranean Environments. IEEE Robotics and Automation Letters. 6(4). 7957–7964. 7 indexed citations
4.
Clarke, R.J., Aliakbar Akbari, Sara Bernardini, et al.. (2020). The Design of Prometheus: A Reconfigurable UAV for Subterranean Mine Inspection. Robotics. 9(4). 95–95. 10 indexed citations
5.
Pomarlan, Mihai, Daniel Beßler, Aliakbar Akbari, et al.. (2020). SkillMaN — A skill-based robotic manipulation framework based on perception and reasoning. Robotics and Autonomous Systems. 134. 103653–103653. 19 indexed citations
6.
Akbari, Aliakbar, et al.. (2020). Intelligent Exploration and Autonomous Navigation in Confined Spaces. IRIS Research product catalog (Sapienza University of Rome). 2157–2164. 10 indexed citations
7.
Akbari, Aliakbar, et al.. (2020). Contingent Task and Motion Planning under Uncertainty for Human–Robot Interactions. Applied Sciences. 10(5). 1665–1665. 10 indexed citations
8.
Goharimanesh, Masoud, et al.. (2019). A decision-making methodology for material selection using genetic algorithm. International Journal of Information and Decision Sciences. 11(4). 269–269. 1 indexed citations
9.
Lagriffoul, Fabien, et al.. (2018). Platform-Independent Benchmarks for Task and Motion Planning. IEEE Robotics and Automation Letters. 3(4). 3765–3772. 36 indexed citations
10.
Akbari, Aliakbar, et al.. (2018). Knowledge-oriented task and motion planning for multiple mobile robots. Journal of Experimental & Theoretical Artificial Intelligence. 31(1). 137–162. 16 indexed citations
11.
Goharimanesh, Masoud, et al.. (2018). Optimisation of drilling parameters on St37 based on Taguchi method. Journal of the Brazilian Society of Mechanical Sciences and Engineering. 40(8). 9 indexed citations
12.
Goharimanesh, Masoud & Aliakbar Akbari. (2017). Improving Lateral Dynamics of Vehicle Using Direct Yaw Moment Controller Based on Quantitative Feedback Theory. Scientia Iranica. 24(2). 662–672. 3 indexed citations
13.
Akbari, Aliakbar, et al.. (2016). Integrated task and motion planning using physics-based heuristics. QRU Quaderns de Recerca en Urbanisme. 1–4.
14.
Akbari, Aliakbar, et al.. (2015). Comparison of RFID system and barcode reader for manufacturing processes. 502–506. 15 indexed citations
15.
Goharimanesh, Masoud, et al.. (2015). Vehicle Model Recognition Based On Using Image Processing And Wavelet Analysis. International Journal on Smart Sensing and Intelligent Systems. 8(4). 2212–2230. 3 indexed citations
16.
Akbari, Aliakbar, et al.. (2015). Ontological physics-based motion planning for manipulation. 3. 1–7. 14 indexed citations
17.
Akbari, Aliakbar, et al.. (2015). Application of RFID system for the process control of distributed manufacturing system. 497–501. 4 indexed citations
18.
Abrishambaf, Reza, Aliakbar Akbari, & Majid Hashemipour. (2014). Comparison of wireless sensor network and radio frequency identification for the process control of distributed industrial systems. Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering. 228(5). 316–329. 7 indexed citations
19.
Rosell, Jan, et al.. (2014). The Kautham project: A teaching and research tool for robot motion planning. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 1–8. 41 indexed citations
20.
Uysal, Sener, et al.. (2013). Integration of RFID and WSN for supply chain intelligence system. 22. 1–6. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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